Merge master changes into barrel branch

.github/workflows/pythonpackage.yml

@@ -72,6 +72,7 @@ jobs:
         COVERALLS_REPO_TOKEN: ${{ secrets.COVERALLS_REPO_TOKEN }}
         SPEDAS_DATA_DIR: data
         ACE_DATA_DIR: ace_data/
+        BARREL_DATA_DIR: barrel_data/
         CLUSTER_DATA_DIR: cluster_data/
         DSC_DATA_DIR: dsc_data/
         CSSWE_DATA_DIR: csswe_data/
@@ -99,6 +100,7 @@ jobs:
         PYTPLOT_LOGGING_LEVEL: error
       run: |
         # coverage run -a -m pyspedas.akebono.tests.tests
+        coverage run -a -m pyspedas.barrel.tests.tests
         coverage run -a -m pyspedas.soho.tests.tests
         coverage run -a -m pyspedas.de2.tests.tests
         coverage run -a -m pyspedas.st5.tests.tests

README.md

@@ -45,7 +45,7 @@ The Python-based Space Physics Environment Data Analysis Software (PySPEDAS) fra
 
 ## Requirements
 
-Python 3.7+ is required.  
+Python 3.8+ is required.  
 
 We recommend [Anaconda](https://www.continuum.io/downloads/) which comes with a suite of packages useful for scientific data analysis. Step-by-step instructions for installing Anaconda can be found at: [Windows](https://docs.anaconda.com/anaconda/install/windows/), [macOS](https://docs.anaconda.com/anaconda/install/mac-os/), [Linux](https://docs.anaconda.com/anaconda/install/linux/)
 

pyspedas/barrel/__init__.py

@@ -1,54 +1,54 @@
 from .load import load
 
-def sspc(trange=['2013-01-17', '2013-01-19'], 
+def sspc(trange=['2013-01-28', '2013-01-29'],
         probe='1A',
         downloadonly=False,
         no_update=False,
         time_clip=False):
 
     return load(datatype='sspc', trange=trange, probe=probe, downloadonly=downloadonly, time_clip=time_clip, no_update=no_update)
 
-def mspc(trange=['2013-01-17', '2013-01-19'], 
+def mspc(trange=['2013-01-29','2013-01-30'],
         probe='1A',
         downloadonly=False,
         no_update=False,
         time_clip=False):
 
     return load(datatype='mspc', trange=trange, probe=probe, downloadonly=downloadonly, time_clip=time_clip, no_update=no_update)
 
-def fspc(trange=['2013-01-17', '2013-01-19'], 
+def fspc(trange=['2013-01-29','2013-01-30'],
         probe='1A',
         downloadonly=False,
         no_update=False,
         time_clip=False):
 
     return load(datatype='fspc',trange=trange, probe=probe, downloadonly=downloadonly, time_clip=time_clip, no_update=no_update)
 
-def rcnt(trange=['2013-01-17', '2013-01-19'], 
+def rcnt(trange=['2013-01-29','2013-01-30'],
         probe='1A',
         downloadonly=False,
         no_update=False,
         time_clip=False):
 
     return load(datatype='rcnt', trange=trange, probe=probe, downloadonly=downloadonly, time_clip=time_clip, no_update=no_update)
 
-def magn(trange=['2013-01-17', '2013-01-19'], 
+def magn(trange=['2013-01-29','2013-01-30'],
         probe='1A',
         downloadonly=False,
         no_update=False,
         time_clip=False):
 
     return load(datatype='magn', trange=trange, probe=probe, downloadonly=downloadonly, time_clip=time_clip, no_update=no_update)
 
-def ephm(trange=['2013-01-17', '2013-01-19'], 
+def ephm(trange=['2013-01-29','2013-01-30'],
         probe='1A',
         downloadonly=False,
         no_update=False,
         time_clip=False):
 
     return load(datatype='ephm', trange=trange, probe=probe, downloadonly=downloadonly, time_clip=time_clip, no_update=no_update)
 
-def hkpg(trange=['2013-01-17', '2013-01-19'], 
+def hkpg(trange=['2013-01-29','2013-01-30'],
         probe='1A',
         downloadonly=False,
         no_update=False,

pyspedas/sosmag/README.md

@@ -3,6 +3,7 @@ The routines in this module can be used to load data from the SOSMAG magnetomete
 
 For more information, see:
 - [SOSMAG at the ESA Space Weather Service Network](https://swe.ssa.esa.int/sosmag)
+- [Space Weather Magnetometer Aboard GEO-KOMPSAT-2A](https://link.springer.com/article/10.1007/s11214-020-00742-2)
 
 The data is loaded using the ESA HAPI server (requires registration):
 - [ESA HAPI server](https://swe.ssa.esa.int/hapi)

setup.py

@@ -29,6 +29,6 @@
                       'cdflib<1.0.0', 'cdasws>=1.7.24', 'netCDF4>=1.6.2',
                       'pywavelets', 'astropy', 'hapiclient>=0.2.2',
                       'pytplot-mpl-temp>=2.1.47', 'viresclient'],
-    python_requires='>=3.7',
+    python_requires='>=3.8',
     include_package_data=True,
 )